The Sienna modeling framework is designed to build, solve, and analyze scheduling problems and dynamic simulations for quasi-static infrastructure systems.

As energy infrastructure continues to evolve, Sienna provides a robust foundation for modeling individual and integrated energy systems across various spatial and temporal scales. By leveraging cutting-edge computational techniques, Sienna enhances the nation’s ability to simulate and optimize complex energy networks.

Key Capabilities

Sienna integrates the National Renewable Energy Laboratory’s (NREL) expertise in advanced computing, visualization, applied mathematics, and computational science. This unique framework offers:

  • New solution algorithms for complex energy modeling
  • Advanced data analytics for in-depth system insights
  • Scalable high-performance computing for efficient simulations.

Previously known as SIIP, Sienna is a modular and open-source framework designed to address key questions about the future of energy systems. The suite is accessible on the Sienna GitHub and consists of specialized tools for different aspects of energy system analysis:

Efficient Data Management
Sienna\Data streamlines the intake and use of energy system input data by supporting multiple file formats, managing large-scale device representations, handling time-series parameters, and providing seamless unit conversions—all within a well-defined user interface.

System Scheduling & Operations
Sienna\Ops enables the simulation of system scheduling processes, including unit commitment, economic dispatch, automatic generation control, and nonlinear optimal power flow. It also supports sequential problem specifications for production cost modeling.

Dynamic System Simulations
Sienna\Dyn facilitates the simulation of power system responses to perturbations and contingencies, particularly in networks with high shares of inverter-based resources. This tool supports phasor simulations, balanced electromagnetic transients, small-signal stability analysis, and parameter sensitivity calculations using automatic differentiation.

In the playlist featuring tutorials linked below, explore Sienna and its capabilities to drive the next generation of energy system modeling.